webeet-io/layered-populate-data-pool-da
Jul 2025 – Jul 2025
1 Month active
Languages Used
CSVGeoJSONJSONJupyter NotebookMarkdownPythonSQL
Technical Skills
Data EngineeringData ScienceData ValidationDatabase ManagementDatabase PopulationDocumentation
Zharko Vukovich
PROFILE
Zharko Vukovich
Worked on the webeet-io/layered-populate-data-pool-da repository to deliver end-to-end geospatial data pipelines supporting urban analytics and cross-team collaboration. Developed and documented workflows for populating Berlin districts and neighborhoods geospatial datasets, integrating JSON boundaries and polygons with PostGIS for robust spatial querying. Implemented schema standardization and data integrity checks for Spain’s Milieuschutz Protection Zones, ensuring consistent data models and reliable ingestion. Leveraged Python, SQL, and Geopandas within Jupyter Notebooks to orchestrate data validation, database management, and reproducible workflows. Enhanced documentation and governance artifacts, enabling faster, more reliable access to complex geospatial data for urban planning and partner data sharing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
231,137
Activity Months1
Your Network
179 peopleWork History
July 2025
7 Commits • 2 Features
Jul 1, 2025July 2025 monthly performance summary for the webeet-io/layered-populate-data-pool-da repository. Focused on delivering end-to-end geospatial data pipelines and schema standardization to enable ready-to-use datasets for urban analytics and cross-team collaboration. Delivered documented workflows, PostGIS integration, and governance artifacts to improve data quality and reuse across projects.
7 Commits • 2 Features
Jul 1, 2025July 2025 monthly performance summary for the webeet-io/layered-populate-data-pool-da repository. Focused on delivering end-to-end geospatial data pipelines and schema standardization to enable ready-to-use datasets for urban analytics and cross-team collaboration. Delivered documented workflows, PostGIS integration, and governance artifacts to improve data quality and reuse across projects.
July 2025
Activity
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Quality Metrics
Correctness98.6%
Maintainability97.2%
Architecture98.6%
Performance94.2%
AI Usage28.6%
Skills & Technologies
Programming Languages
CSVGeoJSONJSONJupyter NotebookMarkdownPythonSQL
Technical Skills
Data EngineeringData ScienceData ValidationDatabase ManagementDatabase PopulationDocumentationEducational Content CreationGeoJSONGeoJSON HandlingGeopandasGeospatial Data HandlingGeospatial Data ManagementGit WorkflowJupyter NotebooksPandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline